White Paper

Engineer with Excellence – HPE Ansys Solution for CAE

This two-page HPE/Ansys application brief explores the high-value proposition of running Ansys solvers on the HPE Apollo 2000 System, which offers scalable and reliable high-performance computing (HPC)

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Understand How High-Performance Compute Can Accelerate Your Simulation Throughput

Are you limiting the size or amount of detail of simulation models due to compute capacity and/or turnaround time limitations? Many engineers and designers are wasting time and effort in reducing a model’s size or complexity to be able to run simulations on computers constrained by the performance, memory, and storage limits of a single system. Advances in Ansys 18, combined with the latest generation of HPC products, provide a viable, affordable solution.

Join us to see how Hewlett Packard Enterprise puts HPE Apollo Systems and Ansys 18 to the test. You will receive first-hand access to the latest benchmark results and the recommended configurations to achieve similar results. Learn from HPE and Ansys partners Dasher Technologies and X-ISS about the benefits their customers have realized from implementing similar HPC configurations.

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Learn How to Speed Up Your Simulations with More Powerful Servers

Learn How to Speed Up Your Simulations with More Powerful Servers

Are you looking for the best way to accelerate your electromagnetic, structural mechanics or fluid dynamics simulations? Or are you curious about how your simulation model would perform on a high-performance computing (HPC) system versus your existing workstation? In this webinar, we will demonstrate — with help from our free Performance Benchmark Program — how a joint Ansys, HPE and Intel® solution offers the best return on your software and hardware investment.

With the Performance Benchmark Program, you can see the increase in speed using an HPC system on your own simulation model. Experts will help you evaluate your existing capabilities and compare them to a small HPC system. With the HPC Cluster Appliance or cloud HPC options, you get more compute power to reduce your turnaround time, investigate more design variations, run finer mesh, involve more physics and run multiple simulations simultaneously.

In addition, the webinar will provide some standard Ansys Fluent, Ansys CFX and Ansys Mechanical benchmark results on the latest HPE Apollo 2000 cluster.

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Beyond the desktop – White Paper

Beyond the desktop – White Paper

Attend this webinar to learn how you can reduce simulation time on increasingly complex engineering challenges in today’s fast-paced globalized economy by incorporating high-performance computing (HPC) into your virtual product development.

Guest speaker Mike Hughes, who is the program director, digital engineering/transformation at Cummins Inc., will outline a credible path to the HPC power needed for ever-expanding engineering simulation demands. The views of solution provider Dell Technologies, who along with X-ISS provide an end-to-end HPC solution for Ansys workloads, will also be presented.

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How Simulation-Based Digital Twins and the Industrial Internet of Things Can Improve Product and Process Performance

Simulation has long been used to improve the design of nearly every physical product or process by providing the opportunity to evaluate a wide range of alternative designs prior to building physical prototypes. Simulation has also long been used to model different operating scenarios to develop control strategies that are incorporated into control algorithms to improve operations. The emergence of the Internet of Things (IoT) has created the potential for a transformational journey in which a simulation model of the product or process is tied through the Internet to sensors capturing data and to actuators controlling its operation. The result is a so-called digital twin of the physical product or process that can be used to analyze and diagnose its operation and optimize its performance and maintenance in real time. By using simulation in conjunction with the IoT, companies can analyze the performance of products in real-world operating conditions and make confident predictions about future performance to improve product operation and productivity, and to reduce the cost and risk of unplanned downtime.

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